HOME > 상세정보

상세정보

Variational regularization of 3d data [electronic resource] : experiments with MATLAB

Variational regularization of 3d data [electronic resource] : experiments with MATLAB

자료유형
E-Book(소장)
개인저자
Montegranario, Hebert. Espinosa, Jairo.
서명 / 저자사항
Variational regularization of 3d data [electronic resource] : experiments with MATLAB / Hebert Montegranario, Jairo Espinosa.
발행사항
New York, NY :   Springer New York :   Imprint: Springer,   2014.  
형태사항
1 online resource (x, 85 p.) : ill.
총서사항
Springer briefs in computer science,2191-5768
ISBN
9781493905331
요약
Variational Regularization of 3D Data provides an introduction to variational methods for data modelling and its application in computer vision. In this book, the authors identify interpolation as an inverse problem that can be solved by Tikhonov regularization. The proposed solutions are generalizations of one-dimensional splines, applicable to n-dimensional data and the central idea is that these splines can be obtained by regularization theory using a trade-off between the fidelity of the data and smoothness properties. As a foundation, the authors present a comprehensive guide to the necessary fundamentals of functional analysis and variational calculus, as well as splines. The implementation and numerical experiments are illustrated using MATLAB®. The book also includes the necessary theoretical background for approximation methods and some details of the computer implementation of the algorithms. A working knowledge of multivariable calculus and basic vector and matrix methods should serve as an adequate prerequisite.
일반주기
Title from e-Book title page.  
내용주기
3D Data in Computer vision and technology -- Function Spaces and Reconstruction -- Variational methods -- Interpolation: From one to several variables -- Functionals and their physical interpretations -- Regularization and inverse theory -- 3D Interpolation and approximation -- Radial basis functions.
서지주기
Includes bibliographical references.
이용가능한 다른형태자료
Issued also as a book.  
일반주제명
Computer vision. Three-dimensional imaging.
바로가기
URL
000 00000nam u2200205 a 4500
001 000046042939
005 20200908163534
006 m d
007 cr
008 200814s2014 nyua ob 000 0 eng d
020 ▼a 9781493905331
040 ▼a 211009 ▼c 211009 ▼d 211009
050 4 ▼a TA1637-1638
082 0 4 ▼a 006.4 ▼2 23
084 ▼a 006.4 ▼2 DDCK
090 ▼a 006.4
100 1 ▼a Montegranario, Hebert.
245 1 0 ▼a Variational regularization of 3d data ▼h [electronic resource] : ▼b experiments with MATLAB / ▼c Hebert Montegranario, Jairo Espinosa.
260 ▼a New York, NY : ▼b Springer New York : ▼b Imprint: Springer, ▼c 2014.
300 ▼a 1 online resource (x, 85 p.) : ▼b ill.
490 1 ▼a Springer briefs in computer science, ▼x 2191-5768
500 ▼a Title from e-Book title page.
504 ▼a Includes bibliographical references.
505 0 ▼a 3D Data in Computer vision and technology -- Function Spaces and Reconstruction -- Variational methods -- Interpolation: From one to several variables -- Functionals and their physical interpretations -- Regularization and inverse theory -- 3D Interpolation and approximation -- Radial basis functions.
520 ▼a Variational Regularization of 3D Data provides an introduction to variational methods for data modelling and its application in computer vision. In this book, the authors identify interpolation as an inverse problem that can be solved by Tikhonov regularization. The proposed solutions are generalizations of one-dimensional splines, applicable to n-dimensional data and the central idea is that these splines can be obtained by regularization theory using a trade-off between the fidelity of the data and smoothness properties. As a foundation, the authors present a comprehensive guide to the necessary fundamentals of functional analysis and variational calculus, as well as splines. The implementation and numerical experiments are illustrated using MATLAB®. The book also includes the necessary theoretical background for approximation methods and some details of the computer implementation of the algorithms. A working knowledge of multivariable calculus and basic vector and matrix methods should serve as an adequate prerequisite.
530 ▼a Issued also as a book.
538 ▼a Mode of access: World Wide Web.
630 0 0 ▼a MATLAB.
650 0 ▼a Computer vision.
650 0 ▼a Three-dimensional imaging.
700 1 ▼a Espinosa, Jairo.
830 0 ▼a Springer briefs in computer science.
856 4 0 ▼u https://oca.korea.ac.kr/link.n2s?url=http://dx.doi.org/10.1007/978-1-4939-0533-1
945 ▼a KLPA
991 ▼a E-Book(소장)

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 중앙도서관/e-Book 컬렉션/ 청구기호 CR 006.4 등록번호 E14031656 도서상태 대출불가(열람가능) 반납예정일 예약 서비스 M

관련분야 신착자료

Negro, Alessandro (2026)
Dyer-Witheford, Nick (2026)